From Analyst to Engineer in just
8 weeks

Our 12 week, cohort-based program will take anyone who is comfortable writing analytical SQL, to a fully-fledged analytics engineer.

Learn with a cohort

Learning on your own sucks, so we won’t do that to you. Each course will have a cohort of students working through the content together — watch lectures at your own pace, and join, and will mix together self-led lectures with synchronous tutorials (the flipped-classroom model, for any education buffs out there!)

Use real

You’ll use relevant datasets, real tools, and learn to solve problems experienced by data teams every day. No iris or titanic datasets, and no web-based IDEs.

Taught by experts

Search for the term “analytics engineer”, and it won’t take you long to find content written by our founding team, Michael Kaminsky and Claire Carroll. Between the two of us we’ve:

  • Been members of data team
  • Run data teams
  • Built leading data communities
  • Mentored dozens of analytics engineers
  • Trained hundreds of analytics engineers
  • Written technical content used by thousands of people every month

So it’s safe to say — we know what we’re talking about.

Meet the instructors

Claire Carroll

As the sole analyst at a fast-growing startup, Claire experienced the pain of the traditional analyst workflow — an ever-growing backlog of requests, and numbers that never quite matched up. So she taught herself dbt, the command line, version control and brought all the rigor of analytics engineering to her team.

After realizing the impact that an analytics engineering mindset could have on an analyst’s career, Claire took on a role growing the dbt community, bringing analytics engineering to thousands of data analysts and engineers.

Michael Kaminsky

Michael has worked as an economist, statistician, analyst, data scientist, but analytics engineering will always hold a special place in his heart. Michael built one of the world’s first analytics engineering teams while leading the data team at online-razor-startup-turned-CPG-goliath Harry’s and has written extensively about the practice as a founding leader of the Locally Optimistic blog and community.

Michael is passionate about teaching analytics concepts (see his Databases Demystified course on Youtube) and is currently co-founder and principal analytics engineer at his startup, Recast.


When can I sign up?

Join our mailing list, and we’ll let you know when applications open.

Is the course full time or part time?

Part time — we expect that students will spend around 5 hours a week completing coursework.

What do I need to know before starting the course?

Before starting the course, you should already know how to write SQL to answer business questions (for example, reporting monthly revenue) and have some exposure to business intelligence tools. That’s it!

What will I learn in the course?

We’ll have a full curriculum available soon. As a baseline, expect to learn about the command line, version control, dbt, advanced SQL patterns, and orchestrators.

I’m interested in becoming a course mentor

That’s not a question! But that is something we’re interested in. Drop us an email, and we’ll get in touch.

Recent blog articles we’ve written

June 8, 2021 in General

Data education is broken

A few weeks ago I was catching up with my friend Sam — she’s currently studying biomedicine, and has a class on data analysis this semester. She knows that I…
Read More
May 15, 2021 in General

On training wheels and balance bikes

At around age 5, I learnt to ride a bike. My dad had already taught my two older sisters to ride their bikes, and this time he decided there would…
Read More
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